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Remote Data Engineer Jobs in Commack, NY (NOW HIRING)

Empire State Realty Trust

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

POSITION SUMMARY The Data Engineer will be responsible for designing, building, and supporting ... Flex remote work time * Flex Summer Fridays * Employee engagement programs * Volunteer time off

CVS Health

Data Engineer

New York, NY · On-site +1

$118K - $173K/yr

Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

DBI Staffing

Senior Data Engineer

New York, NY · Remote

$115K - $130K/yr

Must be US Citizen or GC holder we will not sponsor or work with any third parties. 100% Remote ... The Data Engineer III will play a pivotal role in designing, developing, and maintaining the data ...

CVS Health

Data Engineer

New York, NY · On-site +1

$118K - $173K/yr

Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

CVS Health

Data Engineer

New York, NY · On-site +1

$118K - $173K/yr

Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Alpaca

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

Mark43

Lead Data Engineer

New York, NY · On-site +1

$170K - $210K/yr

We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

Mark43

Lead Data Engineer

New York, NY · Remote

$170K - $210K/yr

We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

Troutman Pepper

Senior Data Engineer

Stamford, CT · Remote

$113K - $153K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

New

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

NinjaOne

Data Software Engineer

New York, NY · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... on data engineering and data science. * Experience in building data pipelines and managing large ...

TheStaffed

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Our client is seeking a Senior Data Engineer with deep Capital Markets experience to support the design, development, and implementation of trade lifecycle data solutions. This role will focus on ...

Contact Government Services, LLC

Sr. Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Maintain a strong knowledge of medical claims, member data, and provider data. Agile Development ... Comfort working with remote team members located in the US, India, or other geographies.

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Showing results 1-20

All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Commack, NY

Remote Data Engineer information

See Commack, NY salary details

$46.1K

$134.3K

$183.8K

How much do remote data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote data engineer in Commack, NY is $134,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $142,400.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
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Remote Data Engineer jobs near you
Data Engineer

Data Engineer

Empire State Realty Trust

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

COMPANY SUMMARY
 
Empire State Realty Trust, Inc. (NYSE: ESRT) is a NYC-focused REIT that owns and operates a portfolio of well-leased, top of tier, modernized, amenitized, and well-located office, retail, and multifamily assets. ESRT's flagship Empire State Building, the "World's Most Famous Building," features its iconic Observation Deck, ranked the #1 Top Attraction in New York City for the fifth consecutive year in Tripadvisor's 2026 Travelers' Choice Awards: Best of the Best Things to Do. The Company is a recognized leader in energy efficiency and indoor environmental quality. As of March 31, 2026, ESRT's portfolio is comprised of approximately 8.0 million rentable square feet of office space, 0.8 million rentable square feet of retail space and 743 residential units. More information about Empire State Realty Trust can be found at esrtreit.com and by following ESRT on Facebook, Instagram, TikTok, X and LinkedIn.
 
The dedicated team at ESRT is a collection of diverse individuals with a shared passion for excellence and a keen eye toward future growth. Headquartered in New York City, we harness the energy of the city in everything we do. We care for one another, work hard, and have a lot of fun doing it! We are Certified as a Great Place to Work by the global authority, Great Place to Work, on workplace culture, employee experience, and leadership behaviors. We prioritize and invest in the health and wellness of employees to attract, develop, and retain top-tier talent. ESRT values continuous employee development and encourages colleagues to excel in their roles and adapt to emerging business needs. From our crown jewel, The Empire State Building, to incredible buildings modernized for the 21st century, to outstanding customer service, and our decade-long leadership position in sustainability and energy efficient portfolio that is 100% fully powered by renewable wind electricity, we take pride in our work. ESRT seeks an equally passionate colleague to join the team, understand the vision and help achieve that vision. 

POSITION SUMMARY 
 
The Data Engineer will be responsible for designing, building, and supporting enterprise-wide AI and automation initiatives that improve and drive business efficiency, insight, and innovation. This role blends technical expertise in data engineering and AI integration, back-end development and automation with hands-on collaboration across business, analytics, and IT teams.
 
Reporting to the Director of Application & Development, this position will support and enhance initiatives involving Informatica data pipelines, API integrations, Lakehouse data architecture, and AI-driven capabilities-including model deployment, virtual assistants, and workflow automation. This position works closely with business, analytics, and IT teams to deliver scalable, high-quality data and AI solutions across ESRT's corporate and property operations.
RESPONSIBILITIES
AI AND AUTOMATION DEVELOPMENT:
  • Design, build, and deploy AI-driven solutions using Python, APIs, and enterprise platforms (e.g., ChatGPT, Agentforce, internal automation tools, Agentic AI Assistance)
  • Partner with business and analytics teams to identify and prioritize automation opportunities that streamline workflows and enhance decision-making
  • Integrate AI capabilities into existing enterprise systems and applications to improve operational efficiency
 
DATA LAKE AND INFORMATICA MANAGEMENT:
  • Develop, maintain, and optimize data pipeline, ETL workflows and integrations using Informatica, Azure Services, Microsoft Fabric, and Semantic Models for Power BI to ensure accurate, timely, and reliable data ingestion and transformation
  • Manage the enterprise Data Lake Architecture to support analytics, reporting, and AI model training, including ingestion, transformation, and overall data management
  • Uphold data governance standards, including lineage tracking, data quality, and documentation
  • Working knowledge of the Medallion Data Architecture
 
INTEGRATION ENGINEERING:
  • Build and maintain integrations between applications, databases, and cloud platforms using APIs, middleware, and native connectors (e.g., REST/GraphQL API)
  • Optimize data flow between operational, analytical, and AI systems to ensure scalability, performance, and security
  • Collaborate with IT and application teams to standardize integration patterns and enforce governance
 
REPORTING AND ANALYTICS ENABLEMENT:
  • Curate and publish high-quality datasets for analytics and visualization tools such as Power BI, including developing and maintaining semantic models and enterprise data schemas
  • Partner with business stakeholders to translate requirements into actionable data models and AI workflows
  • Enable self-service analytics and enhance business intelligence capabilities across the enterprise
 
GOVERNANCE, SECURITY, & DOCUMENTATION:
  • Maintain clear and up-to-date documentation for technical specifications, data flows, integration architecture, and AI models
  • Enforce compliance with data security, access control, and governance frameworks
  • Implement monitoring and alerting for data quality, pipeline performance, and AI model accuracy
  • Adhere to Project Management Office (PMO) best practices
  • Support overall data governance, privacy, cybersecurity, and responsible AI practices
WHAT SUCCESS LOOKS LIKE
  • Drive enterprise-wide applications to operate within a cohesive, data-driven framework that advances company-wide goals, with a focus on leasing space, selling Observatory tickets, and enhancing shareholder value, while delivering projects on time and on budget
  • Integrate cutting-edge platforms, AI, and advanced analytics to fuel strategic decision-making and measurable business impact
  • Embed seamless AI and data workflows into enterprise systems to improve operational efficiency, automation, and insight generation
  • Establish reliable, well-governed data pipelines and integrations that power analytics, reporting, and scalable automation
  • Enable enhanced decision-making across departments by delivering high-quality, trusted data and embedded intelligence
  • Foster collaboration, accountability, and a culture of innovation that aligns technology solutions directly with business outcomes
REQUIRED TECHNICAL SKILLS / ABILITIES
  • Strong proficiency in Informatica, SQL, Python, and Power BI
  • Experience with AI/ML frameworks, LLM-based tools, and cloud platforms (e.g., Azure, AWS, or GCP)
  • Hands-on experience developing and maintaining API integrations
  • Strong understanding of data governance, lineage, and security best practices
  • Excellent analytical, organizational, and communication skills
  • Ability to collaborate across teams and translate technical concepts into business value
  • Deep expertise in enterprise architecture, complex application design, AI integration, advanced analytics, and emerging technologies to deliver scalable, secure, and innovative solutions
  • Demonstrate deep, active listing to better understand another's motivations, reality, and perspectives
  • Strong organizational skills: ability to prioritize work and meet deadlines in a fast-paced environment
  • Excellent written and verbal communication skills, adept at conveying complex technical concepts to diverse audiences and building trust with both technical and non-technical stakeholders
  • Dedication to refining development practices, adopting industry best practices, and driving sustainable organizational scalability
  • Development of SMART goals, followed by the timely execution of deliverables aligned with our IT roadmap which will be measure of employee and team success
  • Commitment to ethical, secure, and responsible data and AI practices
EDUCATION & EXPERIENCE
  • Bachelor's degree in computer science, data engineering, data science, information systems, or related fields
  • 5-8 years of experience in data integration, analytics, or related fields 5+ years of ticketing / attraction focused experience preferred
  • Proven experience managing data pipelines, AI integrations, and enterprise analytics environments
  • Exposure to real estate, REIT, or property technology environments preferred
PHYSICAL REQUIREMENTS
  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift up to 15 pounds at times
WHAT YOU CAN EXPECT
At ESRT, like our tenants, our employees come from everywhere. We foster a collaborative work environment that captures top talent and cultivates the best ideas. As a Great Place to Work Certified employer, we are committed to maintaining our positive work culture where employees are engaged and can grow and develop. In addition, ESRT employees embody our Company Culture & Success Factors -
  • Adaptable - you are a self-starter who's able to quickly digest and execute new processes to work both collaboratively and independently
  • Dynamic - you are solutions-oriented, aim to improve processes and implement efficiency, and offer insightful feedback to improve ESRT
  • Dependable - you take a strong sense of ownership and accountability over your work
  • Passionate - you keep up with industry trends and are excited about the potential to propel the industry forward with a "roll-up-your-sleeves" attitude
  • Curious - you consistently look for new ways to work smarter, not just harder
  • Ethical - you treat others with respect, act with integrity in how you perform your work, and embrace our collaborative culture
  • Positive - you possess a service-oriented attitude with excellent follow through
BENEFITS
  • Competitive base salary and bonus
  • Health/Dental/Vision insurance
  • Company sponsored Life, AD&D, STD (with Salary Continuation), and LTD Insurance
  • Voluntary Enhanced LTD Program
  • Voluntary Hospital, Accident, and Cancer Programs
  • 401(k) with 100% match up to 5%
  • Paid parental leave
  • Pre-tax transit accounts
  • Employee Assistance Program for emotional, financial, and legal support
WELL-BEING
  • Generous paid time off
  • Flex remote work time
  • Flex Summer Fridays
  • Employee engagement programs
  • Volunteer time off
  • Continuing education
  • Complimentary Empire State Building Observatory access
  • Complimentary gym membership and other wellness benefits
  • Employee Discount Programs
$135,000 - $145,000 a year
Salary is based on several factors including but not limited to education, work experience, job location, size of property where applicable, and/or certifications. In addition to your base salary, ESRT provides discretionary annual bonuses.
ESRT is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because they drive curiosity, innovation, and the success of our business. We do not discriminate based on race, religion, color, creed, national origin, sex, sexual orientation, gender identity or expression, reproductive choices, age, marital status, veteran status, disability status, pregnancy, parental status, caregiver status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. This policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination. Reasonable accommodations that do not create an undue hardship for the Company are available for applicants and employees with disabilities or sincerely held religious beliefs.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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